OBSERVED IN REAL USE · Anthropic 2026
20%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
The machines are eyeing your desk.
53% of this role’s O*NET tasks are within reach of today’s AI. That is the core-weighted exposure score from Eloundou et al. 2023 (“GPTs are GPTs”). It measures a capability ceiling, not a headcount forecast. Heavily exposed. Most of the tasks are within reach of today’s AI.
WHAT AI CAN ALREADY DO
- Receive orders for services, such as rentals, repairs, dry cleaning, and storage
- Provide information about rental items, such as availability, operation, or description
- Answer telephones to provide information and receive orders
- Prepare rental forms, obtaining customer signature and other information, such as required licenses
- Compute charges for merchandise or services and receive payments
WHAT IT STILL CAN’T
- Inspect and adjust rental items to meet needs of customer
- Receive, examine, and tag articles to be altered, cleaned, stored, or repaired
- Prepare merchandise for display or for purchase or rental
THE HONEST PART. A percentage is not a pink slip. High exposure usually means a role shrinks and shifts toward judgment, direction and responsibility: the parts a model can’t sign its name to. Exposure ≠ displacement. Breathe.
"My job is 53% cooked. What’s yours?"
SOURCES: O*NET 30.3 occupational tasks · Eloundou et al. 2023 (“GPTs are GPTs”,
arXiv:2303.10130) · Anthropic Economic Index 2026 (CC-BY) |
how this is calculated |
last updated 2026-07-16